Google DeepMind Introduces GNoME: A New Deep Learning Tool that Dramatically Increases the Speed and Efficiency of Discovery by Predicting the Stability of New Materials MarkTechPost “”machine learning” when:1d” – Google News
Tag: deep
When deep learning meets active learning in the era of foundation … – EurekAlert
When deep learning meets active learning in the era of foundation … EurekAlert “”machine learning” when:1d” – Google News
Free MIT Course: TinyML and Efficient Deep Learning Computing
Curious about optimizing AI for everyday devices? Dive into the complete overview of MIT’s TinyML and Efficient Deep Learning Computing course. Explore strategies to make AI smarter on small devices. Read the full article for an in-depth look! KDnuggets
Accelerate deep learning model training up to 35% with Amazon SageMaker smart sifting
In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems. However, the increasing cost associated with training and fine-tuning these models poses a challenge for enterprises. This cost is primarily driven by the…
Avoid Overfitting in Neural Networks: a Deep Dive
Learn how to implement regularization techniques to boost performances and prevent Neural Network overfitting. Continue reading on Towards Data Science » Towards Data Science – Medium
Python: __init__ is NOT a constructor: a deep dive in Python object creation
Tinkering with Python’s constructor to create fast, memory-efficient classes Continue reading on Towards Data Science » Towards Data Science – Medium
Hands-On Deep Q-Learning
Level up your agent to win more difficult games! Continue reading on Towards Data Science » Towards Data Science – Medium
Supercharge Training of your Deep Learning Models
Supercharge Training of Your Deep Learning Models Super convergence with one-cycle learning rates Photo by Philip Swinburn on Unsplash Have you come across scenarios when it is easy to get an initial burst in accuracy but once you reach 90%, you have to push really really hard to squeeze out any improvement in performance? Does your model take…
A Gentle Introduction to Deep Reinforcement Learning in JAX
Solving the CartPole environment with DQN in under a second Photo by Thomas Despeyroux on Unsplash Recent progress in Reinforcement Learning (RL), such as Waymo’s autonomous taxis or DeepMind’s superhuman chess-playing agents, complement classical RL with Deep Learning components such as Neural Networks and Gradient Optimization methods. Building on the foundations and coding principles introduced in one…
Clarifier les Différences entre Machine Learning (ML) et Deep Learning (DL) avec des Exemples —…
SVM (ML), KNN(ML), CNN(DL), et les auto-encodeurs(DL) Continue reading on Medium » Machine Learning on Medium